Oracle 1Z0-1110-25 Online Practice Questions and Exam Preparation

Oracle 1Z0-1110-25 Online Questions & Answers

• Question 1:

  You are attempting to save a model from a notebook session to the model catalog by using the Accelerated Data Science (ADS) SDK, with resource principal as the authentication signer, and you get a 404 authentication error. Which two should you look for to ensure permissions are set up correctly?

  A. The model artifact is saved to the block volume of the notebook session
  B. A dynamic group has rules that match the notebook sessions in its compartment
  C. The policy for your user group grants manage permissions for the model catalog in this compartment
  D. The policy for a dynamic group grants manage permissions for the model catalog in this compartment
  E. The networking configuration allows access to Oracle Cloud Infrastructure services through a Service Gateway
  B. A dynamic group has rules that match the notebook sessions in its compartment
  D. The policy for a dynamic group grants manage permissions for the model catalog in this compartment

• Question 2:

  What is feature engineering in machine learning used for?

  A. To perform parameter tuning
  B. To interpret ML models
  C. To transform existing features into new ones
  D. To help understand the dataset features
  C. To transform existing features into new ones

• Question 3:

  Which of the following best describes the principal goal of data science?

  A. To collect and archive exhaustive datasets from various source systems for corporate record-keeping uses.
  B. To mine and analyze large amounts of data in order to uncover information that can be used for operational improvements and business gains.
  C. To collect and prepare data for use as part of analytics applications.
  D. Data science is focused on output of the analysis.
  B. To mine and analyze large amounts of data in order to uncover information that can be used for operational improvements and business gains.

• Question 4:

  When preparing your model artifact to save it to the Oracle Cloud Infrastructure (OCI) DataScience model catalog, you create a score.py file. What is the purpose of the score.py file?

  A. Configure the deployment infrastructure
  B. Execute the inference logic code
  C. Define the compute scaling strategy
  D. Define the inference server dependencies
  B. Execute the inference logic code

• Question 5:

  You are running a pipeline in the OCI Data Science service and want to override some of the pipeline's default settings. Which of the following statements about overriding pipeline defaults is true?

  A. Pipeline defaults can be overridden only during pipeline creation.
  B. Pipeline defaults can be overridden only by the Administrator.
  C. Pipeline defaults can be overridden before starting the pipeline execution.
  D. Pipeline defaults cannot be overridden once the pipeline has been created.
  C. Pipeline defaults can be overridden before starting the pipeline execution.

• Question 6:

  Which statement about Oracle Cloud Infrastructure Multi-Factor Authentication (MFA) is NOT valid?

  A. Users cannot disable MFA for themselves
  B. A user can register only one device to use for MFA
  C. Users must install a supported authenticator app on the mobile device they intend to register for MFA
  D. An administrator can disable MFA for another user
  B. A user can register only one device to use for MFA

• Question 7:

  What do you use the score.py file for?

  A. Configure the deployment infrastructure
  B. Execute the inference logic code
  C. Define the required conda environment
  D. Define the scaling strategy
  B. Execute the inference logic code

• Question 8:

  You realize that your model deployment is about to reach its utilization limit. What would you do to avoid the issue before requests start to fail? Pick THREE.

  A. Update the deployment to add more instances
  B. Delete the deployment
  C. Update the deployment to use fewer instances
  D. Update the deployment to use a larger virtual machine (more CPUs/memory)
  E. Reduce the load balancer bandwidth limit so that fewer requests come in
  A. Update the deployment to add more instances
  D. Update the deployment to use a larger virtual machine (more CPUs/memory)
  E. Reduce the load balancer bandwidth limit so that fewer requests come in

• Question 9:

  You are a data scientist using Oracle AutoML to produce a model and you are evaluating the score metric for the model. Which of the following TWO prevailing metrics would you use for evaluating a multiclass classification model?

  A. Recall
  B. Mean squared error
  C. F1 Score
  D. R-Squared
  E. Explained variance score
  A. Recall
  C. F1 Score

• Question 10:

  As a data scientist, you create models for cancer prediction based on mammographic images. The correct identification is very crucial in this case. After evaluating two models, you arrive at the following confusion matrix. Which model would you prefer and why?

  Model 1 has Test accuracy is 80% and recall is 70% Model 2 has Test accuracy is 75% and recall is 85%

  A. Model 2, because recall is high
  B. Model 1, because the test accuracy is high
  C. Model 2, because recall has more impact on predictions in this use case
  D. Model 1, because recall has lesser impact on predictions in this use case
  C. Model 2, because recall has more impact on predictions in this use case